UnitLevel 6Postgraduate

TRC6901 Advanced artificial intelligence

Faculty of Engineering

TRC6901 Advanced artificial intelligence is a level 6, 0-credit-point, postgraduate unit from the Faculty of Engineering, offered in 2023 in Semester 2 at Malaysia. It has no prerequisites.

Credit points
0
Offered in 2023
Semester 2
Malaysia
Assessment
No exam
4 tasks
Workload
144 hours
per semester

This is the 2023 handbook entry. See the 2027 entry.

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Requisites

Before TRC6901

Prohibitions

You can't enrol if you have passed any of these.

After TRC6901

No unit lists TRC6901 as a prerequisite in the 2023 handbook.

Enrolment rules

You must be enrolled in the Engineering PhD program. Students enrolled in another PhD program may seek permission from the Faculty of Engineering.

The unit assumes that you have basic programming skills. The unit assumes that you have the necessary foundational knowledge.

Equivalent units

The same content under another code. Only one of them counts.

Overview

The unit aims to introduce the applications of artificial intelligence, such as deep learning techniques, to solve real-world problems related to the manufacturing and services sectors. Focusing on the design of deep learning frameworks, their use in computer vision tasks like image classification and object detection will be explored and discussed. This unit will also cover structured query language for database management, natural language processing for sentiment analysis and time series classification and forecasting.

Offerings in 2023

Teaching periodCampusMode
Second semesterMalaysiaOn campus

Assessment

  • AssignmentsThreshold hurdle
    25%
  • Tests and quizzesThreshold hurdle
    15%
  • ProjectThreshold hurdle
    20%
  • Final assessmentThreshold hurdle
    40%

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    Construct deep learning frameworks using open-access tools, such as TensorFlow and PyTorch, to solve real-world problems.

  2. 2

    Design deep learning models for computer vision tasks like image classification and object detection.

  3. 3

    Develop a database management system based on structured query language for industry use.

  4. 4

    Appraise large volume text data using natural language processing for sentiment analysis.

  5. 5

    Evaluate time-series data using artificial intelligence techniques for classification and forecasting.

  6. 6

    Communicate deep learning solutions to real-world problems with a wider audience via oral presentations and written reports.

Workload and teaching

  • Laboratories36 hours
  • Workshops24 hours
  • Teaching approachProblem-based learning
  • Teaching approachOnline learning
  • Teaching approachActive learning

The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 3-6 hours of scheduled learning activities and 6-9 hours of independent study per week. Scheduled activities may include a combination of teacher-directed learning, peer-directed learning and online engagement. Independent study may include associated readings, assessment and preparation for scheduled activities.

To better understand the concepts and principles, you will work by yourself or in a small group to solve real-world problems with artificial intelligence.

You are expected to prepare for the week by studying lecture notes and watching the pre-recorded videos.

This unit includes interactive workshops and computer laboratories for you to enhance your knowledge learned in lectures through individual or group participation in the activity.

Learning resources

Required resources

  • Lecture slides and videos
  • Workshop and laboratory materials

Contacts

Unit Coordinators
Dr Lim Lam Ghai
Chief Examiners
Dr Lim Lam Ghai

Common questions

What are the prerequisites for TRC6901?

TRC6901 has no prerequisites, but enrolment rules apply.

When is TRC6901 offered?

In 2023, TRC6901 runs in Semester 2 at Malaysia.

How much work is TRC6901?

The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.

Does TRC6901 have an exam?

No. TRC6901 has 4 assessment tasks and no exam.

More details

Credit points
0
Level
6
Study level
Postgraduate
Faculty
Faculty of Engineering
Organisational unit
Department of Mechanical and Aerospace Engineering
Type
HDR
EFTSL
0
Student contribution
SCA Band 2
Study abroad
Not available
Handbook years
202220232024202520262027